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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal PIKOM (Penelitian Komunikasi dan Pembangunan) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) SEIKO : Journal of Management & Business Jiko (Jurnal Informatika dan komputer) Journal of Secretary and Business Administration MIND (Multimedia Artificial Intelligent Networking Database) Journal Progresif: Jurnal Ilmiah Komputer Syntax Idea Jurnal Ilmiah Edunomika (JIE) E-Link: Jurnal Teknik Elektro dan Informatika JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Darma Agung JOINT (Journal of Information Technology Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Masyarakat Indonesia JURNAL ILMIAH GLOBAL EDUCATION JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Prosiding Konferensi Nasional PKM-CSR Jurnal Algoritma Malcom: Indonesian Journal of Machine Learning and Computer Science International Journal of Engineering Continuity Jurnal Sekretaris & Administrasi Bisnis
Sulianta, Feri
Teknik Informatika, Universitas Widyatama
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : JURNAL ILMIAH GLOBAL EDUCATION

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Implementasi dan Analisis Algoritma Content-Based Filtering Pada Sistem Rekomendasi Produk Tas pada Basis Data MySQL Pranata, Aryoga; Sulianta, Feri
Jurnal Ilmiah Global Education Vol. 6 No. 3 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i3.4017

Abstract

Recommendation systems have become a crucial component in various digital platforms to enhance user experience by providing relevant product suggestions. This research aims to implement and analyze the Content-Based Filtering (CBF) algorithm in a product recommendation system using the MySQL database. The CBF algorithm works by recommending products similar to those already liked or purchased by the user based on the features of those products. In this context, features such as product category, brand, and text description are used to generate relevant recommendations. The implementation of this algorithm involves using Natural Language Processing (NLP) techniques to extract features from product descriptions stored in the database. The first phase of this research involves collecting and processing product data to ensure consistency and readiness for further analysis. Key features of each product are then extracted and their similarities calculated using the CBF algorithm. Subsequently, the recommendation results are tested and evaluated using performance metrics such as Precision and Recall to determine the system's effectiveness in providing relevant and beneficial recommendations to users. The research findings indicate that the CBF algorithm can provide fairly accurate and relevant product recommendations, enhancing user satisfaction by offering product choices that match their preferences. Performance evaluation also demonstrates that the system is effective in recognizing user preference patterns and providing useful suggestions. Additionally, the use of the MySQL database offers advantages in efficient data management and processing. With this recommendation system, it is expected to improve user satisfaction and engagement in the e-commerce platform. The use of CBF techniques enables the system to continually learn and adapt to user preferences, providing increasingly relevant recommendations over time.
Implementasi Algoritma Naïve Bayes untuk Mengevaluasi Reputasi Merek (Studi Kasus: Toko XYZ) Suryaresmana, Rizka Putera; Sulianta, Feri
Jurnal Ilmiah Global Education Vol. 6 No. 3 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i3.4016

Abstract

Brand reputation assessment is a crucial aspect for companies in maintaining consumer trust and satisfaction. However, evaluating brand reputation is often challenging, especially for companies that lack the resources to perform it manually. This study aims to implement the Naïve Bayes algorithm in evaluating brand reputation, using a case study of Toko XYZ. The Naïve Bayes algorithm is utilized to perform sentiment analysis on text data related to the brand, such as customer reviews, which are then classified into positive, negative, or neutral sentiments. The results of this analysis are expected to provide the company with a deeper insight into consumer perceptions of their brand. This research also aims to support companies in making strategic decisions related to brand reputation management. Based on the findings, the Naïve Bayes algorithm proves to be effective in analyzing customer sentiment, providing companies with a clearer understanding of how their brand is perceived in the market, and enabling them to better respond to consumer needs.
Co-Authors Ahmad Arif Ahmad Zaeni, Ahmad Ai Rosita Amalia, Endang Ari Purno Wahyu Wibowo Aswari Aswari Daud Rifki Gunawan Deden Farhan Dzikriyana Zuhdia Aziz Esa Fauzi Fadllur Rohman, Muhammad Naufal Fathur Rizki, Muhamad Faturrohman, Adit Fitrah Rumaisa Galang Raka Siwi Herdian, Gentala Virgiawan Kautsar Baihaqi Supriyadi Mendonca, Fernando Muharam, Rahman Mutaqin, Safira Mardiyah Philothra Clarissa Raina Pranata, Aryoga Prayogo, Eriko Putri, Vianty Julia Suryana Rachmat, Alam Maulana Rah Utami Nugrahani Rahman Muharam Raina, Philothra Clarissa Reza Syafrian Setiadi Rizky Muhammad Fauzi Rosita, Ai Saputra, Rinaldy Buana Sriyani Violina Suryaresmana, Rizka Putera SY Yuliani Ulfah, Khaerani yakub, sy yuliani yuliani Yan Puspitarani Yenie Syukriyah